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questions to be studied, proposed methodology/methods, and brief reference list Once approved, prospective candidates will be required to submit an application for admission to an appropriate PhD program at
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Healthcare Sector. [A description of the project can be seen in the additional information section] The purpose of the Stipend is to help students enrolling in the doctoral program, aligned to the project
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have an interest to learn both quantitative and qualitative research methods and we expect you to have at least some experience of computational research methods, such as collecting and analysing data
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participating university PhD admission requirements. c) Meet university English language requirements. d) Not have previously completed a PhD. e) Be able to commence the Program in the year of the offer. f) Enrol
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computer interaction and an honours degree or equivalent. How to apply Application closing dates vary: international applications close 31 July 2024 domestic applications close 31 August 2024. Apply
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What you'll receive The CSIRO Industry PhD Program (iPhD) aims to produce the next generation of innovation leaders with the skills to work at the interface of research and industry in Australia
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Mathematical and numerical models of piezoelectric wave energy converters (MPhil or PhD scholarship)
(1.75 years for MPhil). This is the full-time, tax-exempt rate. If you're a domestic student, you will receive an Australian Government Research Training Program (RTP) Fee Offset. If you're
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The Opportunity The CSIRO Industry PhD Program (iPhD) is a four-year research training program, focusing on applied research that benefits industry by solving real-world challenges. It aims
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Joint Monash-Leipzig PhD programme in Health: Open PhD scholarships in the School of Chemistry at Monash University Job No.: 664818 Location: Clayton campus Employment Type: Full-time Duration: 3
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. The ability to use computer control for targeted synthesis in combination with modern online monitoring methods and process automation opens avenues towards the generation of ‘big data’ and its exploitation in